期刊文献+

一种医学图像几何特征的自动检测

A Method for Automatic Detection of Geometric Features of Medical Images
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摘要 医学图像配准的方法有许多种 ,它的原理都是选取合适的图像特征量 ,根据特征量再来确定配准变换 ,因此特征量的选取是图像配准的第一步。目前用于配准的图像特征量有多种 ,如图像边界、图像外标记点等。本文提供了一种提取图像脊特征 ,作为用于配准的特征量的方法 。 There are many methods for medical image registration. The principle of them is to extract appropriate image features, and to decide which registration transformation to be used according to features selected. So the extraction of image features is the most important step for image registration. There are many kinds of image features to be used for registration, such as image edges, marks outside of image, etc. In this paper is presented a method to extract the image ridge feature for image registration, and good results were obtained.
出处 《北京生物医学工程》 EI 2001年第3期175-177,共3页 Beijing Biomedical Engineering
关键词 图像配准 配准变换 图像脊特征 Image registration Registration transformation Image ridge feature
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参考文献2

  • 1[1]Van den Elsen P A,Antoine Maintz JB,Evert-Jan D P,et al.Image fusion using geometrical features,Visualization in Biomedical Computing,1992,1808:172-185
  • 2[2]Van den Elsen P A,Antoine Maintz JB,Evert-Jan D P,et al.Automatic registration of CT and MRI brain images using correlation of geometrical features.IEEE Transactions on Medical Imaging,1995,14 (2):384 -396

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